摘要
为降低河口大跨桥梁的事故率、提升通行效率,基于嘉绍大桥的系统监测多源实时数据,研究气象、交通、时间和大桥结构数据对河口大跨桥梁交通事故发生率的影响。提取了通车运行4年内的事故数据,分别采用时间匹配法和随机抽样法抽取非事故数据,建立了条件logistic回归模型。结果表明,(1)交通流量、湿度是河口大跨桥梁交通事故发生概率的显著正影响因素;(2)平均通行速度是大桥交通事故发生概率的显著负影响因素;(3)当大桥处于高峰时间时,事故可能性会显著增加;(4)根据现有数据,大桥的挠度变化、结构振动和交通流中的货车比例对事故发生概率无显著影响。
In order to reduce the accident rate and improve the traffic efficiency,the influence of meteorological,traffic,time,and bridge structure data on the traffic accident rate of the estuarine long-span bridge was studied,based on the multi-source real-time data provided by the health monitoring system of Jiashao Bridge.The time matched sampling method and random sampling method were used to extract the accident data within four years of operation,and a conditional logistic regression model was established.The results indicate that the traffic flow and humidity are significant positive factors for the probability of traffic accidents of estuarine long-span bridges while the average traffic speed is a significant negative factor for the probability of traffic accidents.During peak hours,the possibility of accidents increase significantly.According to the existing data,the deflection change of the bridge,structural vibration,and the proportion of trucks in the traffic flow have no significant influence on accident rate.
作者
李骁楠
陈丰
董博文
LI Xiaonan;CHEN Feng;DONG Bowen(Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China;Shanghai Municipal Engineering Design Institute(Group)Co.Ltd.,Shanghai 200092,China)
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2021年第6期863-871,共9页
Journal of Tongji University:Natural Science
基金
国家自然科学基金(51978522)
上海市晨光计划(17CG14)。
关键词
交通工程
事故风险因素
随机抽样法
河口大跨桥梁结构
多源实时数据
traffic engineering
accident risk factors
random sampling
estuarine long-span bridge structure
multi-source real-time data